Here is a one-page printable
PDF version
of the CFP for this track.
Within a few years, most of the devices accessing the Web will be
mobile. This big switch is raising significant issues that will affect
the rest of the Web. The Pervasive Web and Mobility track of seeks
papers in this broad and growing area encompassing networking,
systems, and applications issues involved in realizing mobile and
pervasive access to the Web. Pervasive Web includes technical issues
in extending the reach of the Web to emerging regions. We are
interested in a broad range of topics in context of mobile and
pervasive Web access, including but not limited to:
- Implementations and experimental mobile systems
- Usage evaluations of mobile and wireless systems
- Web proxies and content adaptation
- Mobile agents
- Performance and reliability of mobile systems
- Infrastructure support for mobility and pervasive Web
- Data management for mobile and wireless applications
- Applications and services for mobile users
- Location and context-aware applications and services
- Wearable and handheld devices
- Middleware and service architectures for mobile applications
- Disconnected and intermittently connected operation
- System-level energy management for mobile and wireless devices
- Algorithms and protocols for power management and control
- Service creation and management environments for mobile/wireless systems
- Low-cost web access devices and networking for emerging regions
Paper formatting requirements are provided on the
submissions page.
Track Chair:
Jason Nieh (Columbia University and VMware, USA)
Deputy Chair:
Robin Kravets (University of Illinois at Urbana-Champaign, USA)
Program Committee
- Nina Bhatti (HP Labs, USA)
- Nigel Davies (Lancaster University, UK)
- Maria Ebling (IBM Research, USA)
- Gail Kaiser (Columbia University, USA)
- Reiner Ludwig (Ericsson Research, Germany)
- Amy Murphy (ITC-IRST, Italy)
- Chandra Narayanaswami (IBM Research, USA)
- Bhaskaran Raman (IIT Kanpur, India)
- Pablo Rodriguez (Microsoft Research, UK)
- Bill Schilit (Intel Research, USA)
